Zhennong Chen's repositories
Joint_motion_seg_estimate_CMR
[MICCAI'18] Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences
PSF_generation
Motion Blurred Images Generation. Forked from: http://home.deib.polimi.it/boracchi/Projects/PSFGeneration.html
Dockerfiles
all my docker files
CMR_MC_SR_End2End
An end-to-end deep learning solution to perform motion correction (MC) and super-resolution (SR) concurrently in CMR SAX slices. Author: Zhennong Chen, PhD
DeepStrain
A Deep Learning Workflow for the Automated Characterization of Cardiac Mechanics
CTProjector
GPU projectors for tomography
dvpy
Zhennong's fork on dvpy, edited to fit AI reslicing project
docker_example
A blank docker example that create user upon entry
2DUNet_CT_Seg_Final_v_ZC
a 2D U-Net pipeline to segment heart chambers in CT 3D volumes.
run
润学全球官方指定GITHUB，整理润学宗旨、纲领、理论和各类润之实例；解决为什么润，润去哪里，怎么润三大问题； 并成为新**人的核心宗教，核心信念。
4DCT-LV-Strain
Software package to estimate regional left ventricular endocardial strains from 4DCT cardiac scans
U-Net-2D
a 2D U-Net for CT chamber segmentation
self-attention-cv
From the-AI-summer website. Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
stylegan
StyleGAN - Official TensorFlow Implementation
Synthesize_heart_function_movie
synthesize heart function movie with normal EF and abnormal EF
spatial-transformer-network
Spatial Transformer Network (STN) provides attention to a particular region to in an image, by doing transformation to the input image. The code in this repository does Affine transformation to image, but other transformation can be explored.
NeuralMeshFlow
Neural Mesh Flow: 3D Manifold Mesh Generation via Diffeomorphic Flows
Image_Function_List
A repository to save zc_function_list
Synthesize_infarction_movie
synthesize heart with three classes of myocardial infarction
five-video-classification-methods
Zhennong's fork on five video classification methods, edit to differentiate normal and abnormal heart functions
pointnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Stanford_Machine_Learning
Zhennong's solutions to the machine learning course offered by Stanford in Coursera